DocumentCode
474513
Title
Automatic package and board decoupling capacitor placement using genetic algorithms and M-FDM
Author
Bharath, Krishna ; Engin, Ege ; Swaminathan, Madhavan
Author_Institution
Sch. of ECE, Georgia Inst. of Technol., Atlanta, GA
fYear
2008
fDate
8-13 June 2008
Firstpage
560
Lastpage
565
Abstract
In the design of complex power distribution networks (PDN) with multiple power islands, it is required that the PDN represents a low impedance as seen by the digital modules. This is to reduce the simultaneous switching noise (SSN), generated due to the switching activity of digital drivers. Typically this reduction in impedance is accomplished by placing decoupling capacitors between the power and ground planes of a package or board. However, the performance of the decoupling solution is a function of capacitor selection and its placement. In this paper, an automatic capacitor placement optimization method has been proposed. This method relies on a genetic algorithm to provide a stochastic search of the design space, while employing an efficient core PDN simulator based on the multi-layer finite difference method (M-FDM). The technique has been employed to show optimized placements for split planes as well as for a realistic multi-layer server board.
Keywords
capacitors; distribution networks; finite difference methods; genetic algorithms; integrated circuit design; packaging; printed circuits; stochastic processes; M-FDM; PDN simulator; board decoupling capacitor; complex power distribution networks; genetic algorithms; multilayer finite difference method; simultaneous switching noise; Algorithm design and analysis; Genetic algorithms; Impedance; Noise generators; Noise reduction; Optimization methods; Packaging; Power capacitors; Power systems; Stochastic processes; Genetic Algorithm (GA); Signal/Power Integrity (SI/PI); multi-layer finite difference method (M-FDM);
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference, 2008. DAC 2008. 45th ACM/IEEE
Conference_Location
Anaheim, CA
ISSN
0738-100X
Print_ISBN
978-1-60558-115-6
Type
conf
Filename
4555879
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